Papers
2
Total Citations
204
H-Index
2
About
Dr. Zhicheng Yu is a leading researcher in space robotics, specializing in the dynamics, control, and intelligent planning of free-floating and multi-armed robotic systems for on-orbit servicing. His most influential work, “Reinforcement learning in dual-arm trajectory planning for a free-floating space robot” (2020), has garnered 182 citations, pioneering the application of reinforcement learning to enable autonomous, coordinated motion planning for dual-arm manipulators in microgravity—a critical advance for debris removal and satellite repair. Yu further contributed to the field with “Dynamics modeling and attitude stabilization control of a multiarmed space robot for on-orbit servicing” (2020, 22 citations), where he developed robust control strategies to counteract the complex dynamic coupling between robotic arms and a spacecraft’s base. By integrating machine learning with classical control theory, Yu’s work addresses the fundamental challenge of maintaining attitude stability while executing precise manipulation tasks, directly impacting future autonomous servicing missions. His research bridges simulation and real-world application, offering scalable solutions for the next generation of orbital robotics.
Research Focus
Key Achievements
Top Papers
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